About Hevo

DoorDash, Footlocker, Arhaus, Santander, and thousands of other data-driven companies have one thing in common. They all use Hevo Data’s fully managed Automated Pipelines to consolidate their data from multiple sources like Databases, Marketing Applications, Cloud Storage, SDKs, Streaming Services, etc.

We are a San Francisco, Bangalore, and Pune-based company with 2000+ customers spread across 45+ countries in e-commerce, financial technology, and healthcare. Strongly backed by marquee investors like Sequoia Capital, we have raised $42 Million to date and are looking forward to our next phase of hyper-growth!

Why do we exist?

At Hevo, our mission is to enable every company to be data-driven. We started on this journey 9 years back, and as the first step in this direction, we built our first product – “Data Pipeline” or simply “Pipeline”.

Hevo Pipeline is a no-code platform that helps companies connect all their sources of data within the company to get a unified view of their business. The platform offers integrations with 150+ data sources such as Databases, SaaS applications, Advertising Channels, etc.

Today, we enable close to 2000 companies across more than 40+ countries to be more data-driven. Our aim is to make the technology so simple that anyone should be able to solve their data problems and not be limited due to their lack of technical skills.

The Role

We are growing into mid-market and enterprise accounts where the technical bar - and the stakes - are higher. To win and retain these customers, we are building the technical depth in our post-sale motion to match.

Enterprise buyers are not just buying a product. They are making architectural decisions. The CTOs, data architects, and engineering leads we work with at this level need a technical counterpart.

As a Solution Engineer, you are that person. You are not the first point of contact, and you are not handling tickets.

You are the expert our Account Managers bring in when a customer conversation goes beyond relationship management - a quarterly architecture review, a complex integration challenge, a strategic expansion decision, or simply when a CTO wants to talk to someone who really knows data.

What You Will Do

Be the senior technical specialist that Account Managers call on for complex customer conversations - architecture reviews, expansion discussions, and senior-level technical engagements.

Engage credibly with CTOs, senior engineers, and data architects as a genuine thought partner: understand their architecture, challenge assumptions, co-design pipelines, and offer a credible point of view.

Lead technical discovery and solution design for enterprise customers evaluating new use cases, migrations, or architectural changes involving Hevo.

Translate complex customer requirements into actionable guidance - both for the customer and, where needed, and for Hevo's internal engineering team.

Build and maintain deep expertise in the modern data stack: cloud data warehouses, orchestration, transformation, and the broader ecosystem Hevo operates within.

Identify expansion opportunities through technical engagement and hand them off to the AM with enough context to move the conversation forward commercially.

Contribute to internal knowledge - documenting patterns, building reference architectures, and raising the technical bar across the post-sales team.

What We Are Looking For

6+ years of experience in a technical, customer-facing role - Solutions Engineering, Data Engineering, or a technical post-sale or consulting function.

Deep, broad knowledge of data engineering: ETL/ELT pipelines, cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks), orchestration, and the modern data stack.

Hands-on experience with data integration tools, CDC, event streaming, or warehouse-native transformation (dbt, etc.).

Demonstrable ability to engage at the architectural level - not just explain a product, but understand and speak to a customer's data infrastructure.

Strong communication skills: you can make complex technical ideas clear to both engineers and executives, and you are confident pushing back when a customer's approach is suboptimal.

Comfort working in an ambiguous, fast-moving environment with a small team and high autonomy.

Nice to Have

Experience in a pre-sales or post-sales SE role at a data infrastructure or SaaS company.

Exposure to enterprise data governance, compliance, or security requirements (SOC 2, GDPR, HIPAA).

Prior experience in a startup or high-growth B2B SaaS environment.

What You Will Not Be Doing

This is not a support role, a ticket-handling role, or a general customer success role. You will not be measured on ticket volume or response SLAs. You will be measured on whether enterprise customers trust Hevo at the technical level - and whether that trust translates into deeper, longer, larger relationships.

What We Offer

Competitive compensation and/or equity.

Direct access to leadership and real influence on how the post-sale function is built.

A collaborative, high-trust environment where technical depth is valued and rewarded.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Solution Engineer (Post-sales)

Job Description - Solution Engineer (Post-sales)